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Chief Technology Officer - Artificial Intelligence

Chief Technology Officer - Artificial Intelligence

beBeeArtificialIntelligenceKottayam, Kerala, India
2 days ago
Job description

Job Description

We are seeking a skilled and visionary technologist to spearhead the design, development, and deployment of advanced machine learning solutions. In this leadership role, you will guide a team of engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products.

This role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business value.

Key Responsibilities :

  • Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases.
  • Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost.
  • Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning.
  • Drive planning, execution, and delivery of AI / ML projects, ensuring alignment with business objectives and technical feasibility.
  • Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices.
  • Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions.
  • Establish standards for model quality, reproducibility, documentation, versioning, and monitoring.
  • Stay current with research and industry trends in ML / AI, evaluate new tools, and introduce state-of-the-art solutions where applicable.

Required Skills and Qualifications :

  • Bachelor's or Master's in Computer Science, Machine Learning, Data Science, or related technical field.
  • 6–10+ years of experience in software engineering or AI / ML, with at least 2+ years in a technical leadership role.
  • Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face.
  • Deep understanding of ML fundamentals : feature engineering, model evaluation, optimization, and deployment.
  • Proficiency in designing and building data pipelines, real-time processing, and model inference systems.
  • Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI / CD pipelines.
  • Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., FAISS, Pinecone).
  • Preferred Qualifications :

  • Hands-on experience with LLMs, RAG pipelines, or generative AI applications.
  • Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT).
  • Domain expertise in fintech, healthtech, HR tech, or industrial automation.
  • Contributions to open-source AI / ML projects or published research.
  • Knowledge of responsible AI practices, explainability (XAI), and model governance.
  • Soft Skills :

  • Strong leadership and team-building skills.
  • Clear and persuasive communication with both technical and non-technical stakeholders.
  • Strategic thinker with attention to detail and a bias for action.
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    Chief Technology Officer • Kottayam, Kerala, India